2014/10/31 by Nicolas Gensollen, Vincent Gauthier, Gensollen, Nicolas +5
Computer Science · Engineering · Physics and Astronomy · #Caching and Content Delivery #Complex Network Analysis Techniques #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Smart Grid Energy Management
paper · pdf · doi:10.48550/arxiv.1410.8776
openalex publication_date 2014/10/31 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In a smart grid environment, we study coalition formation of prosumers that aim at entering the energy market. It is paramount for the grid operation that the energy producers are able to sustain the grid demand in terms of stability and minimum production requirement. We design an algorithm that seeks to form coalitions that will meet both of these requirements: a minimum energy level for the coalitions and a steady production level which leads to finding uncorrelated sources of energy to form a coalition. We propose an algorithm that uses graph tools such as correlation graphs or clique percolation to form coalitions that meet such complex constraints. We validate the algorithm against a random procedure and show that, it not only performs better in term of social welfare for the power grid, but also that it is more robust against unforeseen production variations due to changing weather conditions for instance.